FLIP-FLexible IoT Path Programming Framework for Large-scale IoT

被引:1
|
作者
Shahzad [1 ]
Jung, Eun-Sung [2 ]
机构
[1] Hongik Univ, Dept Elect & Comp Engn, Seoul, South Korea
[2] Hongik Univ, Dept Software & Commun Engn, Seoul, South Korea
基金
新加坡国家研究基金会;
关键词
SDN; DPI; Fog computing; Large-scale IoT; DESIGN;
D O I
10.1109/CCGrid49817.2020.00014
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the rapid increase in smart objects forming IoT fabric, it is likely to see billions of devices connected to the internet, forming large-scale IoT networks. This fast growth in IoT gave rise to network complexity and increased user requirements. Collecting data from these IoT devices with optimal network utilization and simplicity is becoming more and more challenging. This paper proposes FLIP- FLexible IoT Path Programming Framework for Large-scale IoT. FLIP focuses on the IoT fabric from the perspective of user requirements. It uses Software Defined Networking (SDN) techniques along with Deep Packet Inspection (DPI) technology to efficiently fulfill these requirements and establish datapath in the network in an automated and distributed manner. FLIP utilizes SDN's core capabilities like datapath programming and centralized view of the network to apply in-network computing and automated datapath establishment to optimize overall network utilization. We evaluated our framework through experiments, and results indicate that FLIP has the potential to fulfill user requirements in an automated fashion and optimize network utilization.
引用
收藏
页码:881 / 888
页数:8
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